Saved in:
| Main Author: | Biekötter, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.06082 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A diversity-enhanced genetic algorithm for efficient exploration of parameter spaces
by: Wessén, Jonas, et al.
Published: (2024)
by: Wessén, Jonas, et al.
Published: (2024)
Anomaly detection with spiking neural networks for LHC physics
by: Dillon, Barry M., et al.
Published: (2025)
by: Dillon, Barry M., et al.
Published: (2025)
The DNA of Calabi-Yau Hypersurfaces
by: MacFadden, Nate, et al.
Published: (2024)
by: MacFadden, Nate, et al.
Published: (2024)
Folded Context Condensation in Path Integral Formalism for Infinite Context Transformers
by: Paeng, Won-Gi, et al.
Published: (2024)
by: Paeng, Won-Gi, et al.
Published: (2024)
Commutative Evolution Laws in Holographic Cellular Automata: AdS/CFT, Near-Extremal D3-Branes, and a Deep Learning Approach
by: Go, Hyunju
Published: (2020)
by: Go, Hyunju
Published: (2020)
Benchmarking a fading window: electroweak baryogenesis in the C2HDM, LHC constraints after Run 2 and prospects for LISA
by: Biekötter, Thomas, et al.
Published: (2025)
by: Biekötter, Thomas, et al.
Published: (2025)
Identifying phase transitions in physical systems with neural networks: a neural architecture search perspective
by: Terin, Rodrigo Carmo, et al.
Published: (2024)
by: Terin, Rodrigo Carmo, et al.
Published: (2024)
Toward Manifest Relationality in Transformers via Symmetry Reduction
by: François, J., et al.
Published: (2026)
by: François, J., et al.
Published: (2026)
A practical applicable quantum-classical hybrid ant colony algorithm for the NISQ era
by: Qiu, Qian, et al.
Published: (2024)
by: Qiu, Qian, et al.
Published: (2024)
Statistics of correlations in nonlinear recurrent neural networks
by: Mato, German, et al.
Published: (2025)
by: Mato, German, et al.
Published: (2025)
Generating new coordination compounds via multireference simulations, genetic algorithms and machine learning: the case of Co(II) molecular magnets
by: Frangoulis, Lion, et al.
Published: (2025)
by: Frangoulis, Lion, et al.
Published: (2025)
Neuromorphic Readout for Hadron Calorimeters
by: Lupi, Enrico, et al.
Published: (2025)
by: Lupi, Enrico, et al.
Published: (2025)
Neuro-evolutionary stochastic architectures in gauge-covariant neural fields
by: Terin, Rodrigo Carmo
Published: (2026)
by: Terin, Rodrigo Carmo
Published: (2026)
Mean field initialization of the Annealed Importance Sampling algorithm for an efficient evaluation of the Partition Function of Restricted Boltzmann Machines
by: Pou, A. Prat, et al.
Published: (2024)
by: Pou, A. Prat, et al.
Published: (2024)
Learning BPS Spectra and the Gap Conjecture
by: Gukov, Sergei, et al.
Published: (2024)
by: Gukov, Sergei, et al.
Published: (2024)
Quantum evolutionary algorithm for TSP combinatorial optimisation problem
by: Ma, Yijiang, et al.
Published: (2024)
by: Ma, Yijiang, et al.
Published: (2024)
DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search
by: Xie, Shubing, et al.
Published: (2025)
by: Xie, Shubing, et al.
Published: (2025)
The CMS di-photon excess at 95 GeV in view of the LHC Run 2 results
by: Biekötter, T., et al.
Published: (2023)
by: Biekötter, T., et al.
Published: (2023)
Top-quark spin correlations as a tool to distinguish pseudoscalar $A \to ZH$ and scalar $H \to ZA$ signatures in $Z t \bar t$ final states at the LHC
by: Arco, Francisco, et al.
Published: (2025)
by: Arco, Francisco, et al.
Published: (2025)
Optimizing quantum circuits with evolutionary algorithms for stable Boolean gates, elementary cellular automata, and highly entangled quantum states
by: Bhandari, Shailendra, et al.
Published: (2024)
by: Bhandari, Shailendra, et al.
Published: (2024)
ALP-ine quests at the LHC: hunting axion-like particles via peaks and dips in $t \bar{t}$ production
by: Anuar, Afiq, et al.
Published: (2024)
by: Anuar, Afiq, et al.
Published: (2024)
Use of a genetic algorithm to find solutions to introductory physics problems
by: Bensky, Tom, et al.
Published: (2025)
by: Bensky, Tom, et al.
Published: (2025)
Improving genetic algorithms performance via deterministic population shrinkage
by: Laredo, Juan Luis Jiménez, et al.
Published: (2024)
by: Laredo, Juan Luis Jiménez, et al.
Published: (2024)
Airport take-off and landing optimization through genetic algorithms
by: Pecker, Fernando Guedan, et al.
Published: (2024)
by: Pecker, Fernando Guedan, et al.
Published: (2024)
Use of a genetic algorithm in university scheduling for equitable and efficient determination of teaching assignments
by: Bensky, Tom, et al.
Published: (2025)
by: Bensky, Tom, et al.
Published: (2025)
Reinforcement learning-enhanced genetic algorithm for wind farm layout optimization
by: Dong, Guodan, et al.
Published: (2024)
by: Dong, Guodan, et al.
Published: (2024)
Optimizing Carbon Footprint in ICT through Swarm Intelligence with Algorithmic Complexity
by: Alevizos, Vasileios, et al.
Published: (2025)
by: Alevizos, Vasileios, et al.
Published: (2025)
Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks
by: Ghane, Ehsan, et al.
Published: (2025)
by: Ghane, Ehsan, et al.
Published: (2025)
A Supervised Machine Learning Approach for Accelerating the Design of Particulate Composites: Application to Thermal Conductivity
by: Hashemi, Mohammad Saber, et al.
Published: (2020)
by: Hashemi, Mohammad Saber, et al.
Published: (2020)
Pattern recognition using spiking antiferromagnetic neurons
by: Bradley, Hannah, et al.
Published: (2023)
by: Bradley, Hannah, et al.
Published: (2023)
Neuromorphic Circuit Simulation with Memristors: Design and Evaluation Using MemTorch for MNIST and CIFAR
by: Souto, Julio, et al.
Published: (2024)
by: Souto, Julio, et al.
Published: (2024)
Evolving a multi-population evolutionary-QAOA on distributed QPUs
by: Schiavello, Francesca, et al.
Published: (2024)
by: Schiavello, Francesca, et al.
Published: (2024)
A Unified Physics-Informed Neural Network for Modeling Coupled Electro- and Elastodynamic Wave Propagation Using Three-Stage Loss Optimization
by: Bharadwaj, Suhas Suresh, et al.
Published: (2026)
by: Bharadwaj, Suhas Suresh, et al.
Published: (2026)
Contributions to the development of the CRO-SL algorithm: Engineering applications problems
by: Camacho-Gómez, Carlos
Published: (2018)
by: Camacho-Gómez, Carlos
Published: (2018)
Efficient lattice field theory simulation using adaptive normalizing flow on a resistive memory-based neural differential equation solver
by: Xu, Meng, et al.
Published: (2025)
by: Xu, Meng, et al.
Published: (2025)
Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms
by: Srimahajariyapong, Kasidit, et al.
Published: (2025)
by: Srimahajariyapong, Kasidit, et al.
Published: (2025)
Evaluation of Nuclear Microreactor Cost-competitiveness in Current Electricity Markets Considering Reactor Cost Uncertainties
by: Abdussami, Muhammad R., et al.
Published: (2025)
by: Abdussami, Muhammad R., et al.
Published: (2025)
Genetic Transformer-Assisted Quantum Neural Networks for Optimal Circuit Design
by: Wang, Haiyan
Published: (2025)
by: Wang, Haiyan
Published: (2025)
Experimental differentiation and extremization with analog quantum circuits
by: Philip, Evan, et al.
Published: (2025)
by: Philip, Evan, et al.
Published: (2025)
Benchmarking Swarm Optimization Algorithms for Parameter Initialization in the Quantum Approximate Optimization Algorithm
by: Bhat, Shashank Sanjay, et al.
Published: (2025)
by: Bhat, Shashank Sanjay, et al.
Published: (2025)
Similar Items
-
A diversity-enhanced genetic algorithm for efficient exploration of parameter spaces
by: Wessén, Jonas, et al.
Published: (2024) -
Anomaly detection with spiking neural networks for LHC physics
by: Dillon, Barry M., et al.
Published: (2025) -
The DNA of Calabi-Yau Hypersurfaces
by: MacFadden, Nate, et al.
Published: (2024) -
Folded Context Condensation in Path Integral Formalism for Infinite Context Transformers
by: Paeng, Won-Gi, et al.
Published: (2024) -
Commutative Evolution Laws in Holographic Cellular Automata: AdS/CFT, Near-Extremal D3-Branes, and a Deep Learning Approach
by: Go, Hyunju
Published: (2020)